AIYING PROFESSIONAL PROMPTS | EPISODE #001
Proposal Reconciler: From Client Feedback to Final Proposal Using AI
A practical, five-prompt solution for consultants, project managers and professional service organizations.
AIYING — Accomplishing with AI.
Imagine this familiar business situation.
You have spent several days preparing a consulting proposal. You have defined the scope, deliverables, schedule, commercial terms and responsibilities. You present it to the client.
The client likes the proposal—but requests changes.
Some requests emerge during the meeting. Others arrive through follow-up emails. A few affect the schedule. Some introduce additional work. Others may change the price.
Meanwhile, your internal team must decide which requests are feasible, which can be approved, and what the revised commercial offer should contain.
How do you convert all this information into one accurate, consistent, client-ready proposal?
This is the business problem addressed by AIYING Professional Prompts #001 — Proposal Reconciler.
Transform an original proposal, client meeting minutes, follow-up emails and internally approved decisions into a traceable revised proposal and a consolidated final offer.
The AI assists with extraction, comparison, reconciliation and drafting. Authorized professionals remain responsible for approving commitments and releasing the final document.
Watch the Complete Demonstration
This video walks through the 43-slide AIYING Proposal Reconciler presentation, including the reusable prompts, fictional business case, change-highlighted revision and final integrated proposal.
1. Why Proposal Reconciliation Is a Real Business Challenge
Revising a proposal is not simply a matter of changing a few slides.
Every change may affect other parts of the engagement.
- Adding a deliverable may increase cost and resource requirements.
- Reducing the timeline may require parallel workstreams.
- Adding a pilot may introduce technical, data access and acceptance requirements.
- Changing the number of workshops may affect staffing and scheduling.
- Introducing new governance requirements may create additional review obligations.
There is another important distinction: a client request is not the same as an approved commitment.
A client may ask for a new deliverable. The consulting organization must still evaluate feasibility, pricing, schedule implications and contractual conditions before agreeing to provide it.
A poorly managed revision can create inconsistent commitments between the scope slide, timeline, pricing table and final agreement.
Proposal reconciliation therefore requires more than document editing. It requires evidence-based change management.
2. The AIYING Five-Prompt Solution
The Proposal Reconciler uses five reusable prompts in sequence.
Prompt 01: Extract the original proposal baseline
Prompt 02: Analyze client feedback
Prompt 03: Reconcile approved decisions
Prompt 04: Generate the change-highlighted revised proposal
Prompt 05: Produce the final integrated offer
The workflow follows a simple principle:
Original Proposal → Client Feedback → Approved Changes → Revised Proposal → Final Offer
Each prompt performs a distinct business task. Its output becomes an input for the next stage.
3. What You Need Before Starting
Prepare three groups of source documents.
Input A — Original Proposal
The original PowerPoint or PDF proposal should contain the objectives, scope, deliverables, schedule, fees, assumptions and exclusions.
Input B — Client Feedback
Collect meeting minutes, follow-up emails and any other relevant written client requests.
Input C — Internal Approval Decisions
Provide the record showing which changes the organization has authorized, including revised scope, timeline and commercial commitments.
4. Prompt 01 — Extract the Original Proposal Baseline
Before changing a proposal, establish exactly what was originally offered.
This is the baseline against which every subsequent request and decision will be evaluated.
Reusable Prompt
Expected Output
A baseline register identifying the original commitments, source locations, responsible parties where stated, and relevant schedule or commercial implications.
This step helps prevent original commitments from being accidentally lost when preparing the revised offer.
5. Prompt 02 — Analyze Client Feedback
Client feedback may appear in different formats and at different times.
A meeting may introduce a new requirement, while a later email clarifies or expands it.
The purpose of Prompt 02 is to capture the complete request trail.
Reusable Prompt
Expected Output
A client-request register containing the request, source, date, affected commitment, classification and unresolved questions.
Notice the critical instruction: Do not treat requests as approvals.
This prevents AI from turning client expectations into unauthorized supplier obligations.
6. Prompt 03 — Reconcile Approved Decisions
Now compare three things:
- What the original proposal committed to deliver.
- What the client requested.
- What the organization actually approved.
The result is an approval-backed change matrix.
Reusable Prompt
The Colour Standard
BLUE — RETAINED: Existing commitments that remain in the proposal.
AMBER — MODIFIED: Existing commitments that have changed.
GREEN — ADDED: New commitments introduced through approved changes.
Removed or pending items must also be recorded explicitly where applicable.
Colour helps reviewers understand the changes quickly, but the written change register remains the authoritative record of what was approved.
7. Prompt 04 — Generate the Change-Highlighted Proposal
The next task is to communicate the proposed revision clearly to decision-makers.
Instead of presenting an entirely new document with no visible history, AI can help produce a change-highlighted presentation.
Reusable Prompt
Expected Output
An editable PowerPoint presentation that shows the evolution from the original proposal to the revised offer.
It should allow management and the client to see what changed, why it changed and how the revised commitments affect the engagement.
8. Prompt 05 — Produce the Final Integrated Offer
Once the changes are approved and reconciled, the final deliverable must be a complete proposal—not merely a list of differences.
Reusable Prompt
Expected Output
A single consolidated revised offer containing the complete set of retained and approved commitments.
The final document should be internally consistent and ready for authorized professional review before release to the client.
9. The Worked Business Case: Apex Advisory and Northstar Manufacturing
Let us now see how these prompts work in a realistic business situation.
Note: Apex Advisory and Northstar Manufacturing are fictional organizations created for this demonstration. The names, dates and commercial figures illustrate the process; they are not claims about an actual consulting engagement.
The Initial Situation
Northstar Manufacturing wants to improve AI readiness and adoption across its operations.
Apex Advisory submits an initial consulting proposal.
| Item | Original Proposal — Version 1 |
|---|---|
| Objective | AI readiness and practical adoption across operations |
| Duration | 12 weeks |
| Consulting fee | ₹24 lakh |
| Assessment | Three business functions |
| Training | Three workshops, 30 participants total |
| Opportunity portfolio | 10 prioritized AI opportunities |
| Strategy | 12-month AI adoption roadmap |
| Live pilot | Not included |
The original engagement is divided into three phases:
| Phase | Weeks | Fee |
|---|---|---|
| Discovery | 1–4 | ₹8 lakh |
| Workshops and analysis | 5–8 | ₹8 lakh |
| Roadmap and handover | 9–12 | ₹8 lakh |
| Total | 12 weeks | ₹24 lakh |
The original proposal excludes production system integration and live pilot implementation. Travel and applicable taxes are additional. Payment milestones are 40% at kickoff, 30% at midpoint and 30% at completion.
10. The Client Meeting Changes the Requirements
On 20 October 2026, Northstar and Apex conduct a proposal review meeting.
The client requests four changes:
- Include the maintenance team as a fourth assessed function.
- Introduce one controlled shop-floor pilot in one plant.
- Add two hands-on practical labs to the training program.
- Reduce the overall engagement duration from 12 weeks to 10 weeks.
Apex agrees to evaluate feasibility and return with a revised offer.
11. A Follow-Up Email Introduces Further Requirements
On 22 October 2026, Northstar Procurement sends a follow-up email.
The email requests:
- A baseline and measurable KPIs for the proposed pilot.
- An executive steering checkpoint.
- A brief data privacy and governance annex.
- A revised fixed consulting fee within ₹30 lakh.
- Clarification of exclusions.
At this stage, the proposed scope is becoming more complex.
The consultant must reconcile the original proposal, meeting requests and subsequent email before making a final commercial commitment.
12. Internal Approval Establishes the Authorized Revision
On 25 October 2026, Apex Advisory records its approved changes.
The approved revision includes:
- Readiness assessment across four functions, including maintenance.
- One controlled plant pilot.
- Two additional practical labs.
- Pilot KPI baseline and evaluation.
- A week 5 executive steering checkpoint.
- A data privacy and governance annex.
- Ten-week delivery using parallel workstreams.
- A revised fixed consulting fee of ₹29 lakh.
Apex also retains the original 10-use-case portfolio, 12-month roadmap, 40/30/30 payment structure and treatment of travel and taxes.
Production-scale system integration remains excluded.
This internal approval record is the essential authority for the revised commitments.
13. The Reconciliation Matrix: What Changed?
The prompts can now generate a structured before-and-after comparison.
| Area | Original | Revised | Status |
|---|---|---|---|
| Assessed functions | 3 functions | 4, including maintenance | Modified |
| Learning program | 3 workshops | 3 workshops + 2 practical labs | Modified |
| Use-case portfolio | 10 opportunities | 10 opportunities | Retained |
| Strategy roadmap | 12 months | 12 months | Retained |
| Pilot | Not included | 1 controlled plant pilot | Added |
| Pilot KPI report | Not included | Baseline and evaluation | Added |
| Governance annex | Not included | Privacy, access and risk controls | Added |
| Executive checkpoint | Not specified | Week 5 steering review | Added |
| Engagement duration | 12 weeks | 10 weeks | Modified |
| Fixed consulting fee | ₹24 lakh | ₹29 lakh | Modified |
| Payment milestones | 40 / 30 / 30 | 40 / 30 / 30 | Retained |
This is the central value of proposal reconciliation: the final offer is not created in isolation. It is linked to the original commitments, client requests and authorized decisions.
14. The Revised Delivery Plan
Compressing the engagement from 12 weeks to 10 weeks requires a revised delivery model.
The fictional case uses parallel workstreams to accommodate the additional activities.
| Weeks | Activities | Expected Output |
|---|---|---|
| 1–2 | Kickoff and readiness discovery | Readiness baseline |
| 3–4 | Workshops and use-case selection | Prioritized opportunity portfolio |
| 5 | Steering review and pilot design | Pilot approval gate |
| 6–8 | Controlled pilot, practical labs and roadmap drafting | Pilot KPI evidence |
| 9–10 | Pilot evaluation, governance and handover | Final roadmap and reports |
Notice that reducing the duration does not automatically mean reducing the work.
The revised plan must explain how additional activities will fit into the shorter schedule, what dependencies exist and which client inputs are required.
15. The Final Integrated Proposal
After reconciliation, Apex prepares Version 2 of the consulting proposal.
The revised engagement contains six principal deliverables.
| Deliverable | Final Commitment | Origin |
|---|---|---|
| D1 — Readiness report | Four functions, including maintenance | Modified |
| D2 — Learning program | Three workshops and two practical labs | Modified |
| D3 — Use-case portfolio | 10 prioritized AI opportunities | Retained |
| D4 — Pilot and KPI report | One controlled pilot with baseline and results | Added |
| D5 — Strategy roadmap | 12-month AI adoption plan | Retained |
| D6 — Governance annex | Privacy, access and risk controls | Added |
Final Commercial Position
Revised consulting fee: ₹29 lakh
Revised duration: 10 weeks
Payment milestones: 40% kickoff, 30% midpoint, 30% completion
Taxes and travel: Additional, as in the original proposal
Pilot boundary: Controlled pilot only; no production-scale deployment
Client responsibilities: Stakeholder access, plant sponsor and necessary data approvals
The final proposal also identifies a week 5 steering checkpoint, the need to confirm pilot KPIs and acceptance criteria at kickoff, and the next steps for contracting and commencement.
Version 2 remains subject to client acceptance. Internal approval of the revised offer does not itself establish a signed client agreement.
16. What Has AI Actually Accomplished?
The value is not simply that AI has produced a new presentation.
The structured prompts have supported a sequence of professional activities:
- Preserving the original baseline.
- Extracting requests from different client records.
- Distinguishing requests from approved commitments.
- Identifying additions, modifications and retained items.
- Connecting scope changes with schedule and commercial implications.
- Preparing a change-highlighted review document.
- Producing a consolidated revised offer.
These activities would otherwise require substantial manual comparison across multiple documents.
AI can accelerate the work, but the resulting outputs still require verification against the source records.
17. How to Apply the Solution to Your Own Proposal
You do not need to reproduce the fictional Apex–Northstar case.
Replace the example documents with your own proposal and client records.
Step 1 — Collect the Evidence
Prepare your original proposal, client meeting minutes, follow-up emails and internal approval decisions.
Use only information you are authorized to process in your chosen AI environment. Remove unnecessary confidential or personal data where appropriate.
Step 2 — Run Prompt 01
Upload the original proposal and extract its baseline. Verify the output against the original slides or pages.
Step 3 — Run Prompt 02
Provide the client feedback records. Review the extracted requests and identify ambiguities.
Step 4 — Run Prompt 03
Provide the internal approval record and reconcile the approved changes. Keep pending items separate.
Step 5 — Run Prompt 04
Generate the change-highlighted presentation. Check whether all modifications are correctly classified and represented.
Step 6 — Run Prompt 05
Generate the complete revised offer, integrating retained commitments and approved changes.
Step 7 — Conduct the Final Review
Check the final proposal for consistency, completeness, accuracy and release authorization before sharing it with the client.
18. The Professional Quality Gate
A generated proposal should never be released without professional review.
Content Integrity
- Are all retained commitments still present?
- Are modifications accurately represented?
- Are all additions supported by approvals?
- Have any important exclusions disappeared?
- Are there duplicated or conflicting commitments?
Commercial and Legal Review
- Is the revised fee correct?
- Are currency, taxes and travel conditions clear?
- Are payment milestones accurate?
- Are schedule and resource assumptions feasible?
- Are contractual and legal implications reviewed by authorized personnel?
Release Control
- Are all pending matters resolved or clearly identified?
- Is the proposal version and date correct?
- Is the intended client recipient confirmed?
- Have internal notes and confidential approval discussions been removed?
- Has an authorized person approved the document for issue?
19. Common Mistakes to Avoid
Mistake 1 — Treating Client Requests as Final Commitments
A request made in a meeting does not automatically authorize a new scope, price or deadline.
Mistake 2 — Revising Only the Scope Slide
A scope change may also require updates to deliverables, timeline, fees, assumptions, responsibilities and acceptance criteria.
Mistake 3 — Losing Original Commitments
When generating a revised proposal, AI may omit material from the original unless the baseline is explicitly preserved and checked.
Mistake 4 — Inventing Missing Details
If a fee, deadline, approval or responsibility is not stated in the source material, it must not be presented as established fact.
Mistake 5 — Confusing a Polished Document with an Approved Document
A professionally formatted presentation is not evidence of commercial, legal or management approval.
20. Where Else Can Proposal Reconciler Be Used?
Although the worked example concerns an AI adoption consulting engagement, the same structured approach can be adapted to other professional contexts.
| Business Context | Possible Application |
|---|---|
| Management consulting | Reconcile scope revisions and revised commercial proposals |
| IT services | Compare software project proposals with changing client requirements |
| Engineering services | Track changes to technical scope, milestones and exclusions |
| Training organizations | Revise learning programs, participant coverage and delivery schedules |
| Marketing agencies | Reconcile campaign deliverables, creative requests and budgets |
| Professional services | Maintain traceability between client feedback and revised offers |
These are potential applications of the method, not additional cases demonstrated in the current presentation.
21. From Prompt Writing to Professional Accomplishment
The deeper lesson of this case is that professional AI use should not stop at generating an answer.
A useful prompt solution begins with a defined business outcome, identifies the necessary evidence, breaks the work into verifiable stages and produces a deliverable that can be reviewed and acted upon.
This aligns with the AIYING approach to accomplishing work with AI:
THINK — Define the required business outcome.
ASK — Use structured prompts and the correct source documents.
JUDGE — Verify the results, assumptions and approvals.
ACCOMPLISH — Produce and release the approved professional deliverable.
In the Proposal Reconciler case, AI supports the process, while human professionals retain accountability for business decisions and commitments.
22. Explore AIYING Professional Prompts
AIYING Professional Prompts is a practical series focused on accomplishing real business tasks through reusable, structured AI prompt solutions.
Each edition is intended to demonstrate:
- A clearly defined professional problem.
- The documents and information required.
- A reusable sequence of AI prompts.
- A realistic worked business case.
- Professional outputs and deliverables.
- Verification and human approval requirements.
The purpose is to make AI useful in actual professional work—not merely to introduce another AI tool or prompt technique.
AIYING Professional Prompts #001
Proposal Reconciler — From Client Feedback to Final Proposal
Explore the complete presentation, reusable prompts and worked consulting case.
Demonstration and self-service kit:
https://tinyurl.com/LNP2026
Watch the video:
AIYING Proposal Reconciler on YouTube
23. Your Turn: What Would You Reconcile with AI?
Have you ever had to revise a proposal after multiple meetings, emails and internal discussions?
Which part of the process was most difficult?
Was it understanding the changes, securing approvals, revising the commercials, or preparing the final client document?
Share your experience in the comments.
Also suggest a professional task you would like to see developed into a future AIYING Professional Prompts solution.
AIYING — Accomplishing with AI.
AIYING Professional Prompts | #001
Real Business Problems. Reusable AI Solutions.
Less AI Talk. More AI Action.
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